Statistical processing
Contact info
Science, Technology and Culture, Business StatisticsSøren Østerballe
+45 23 42 32 97
Get as PDF
Data is collected from a spreadsheet with data on individual archives sent from the National Archives. Data validation is performed by comparing values with previous years' data collection for individual archives as well as on an aggregated level. Data from the other archives is reported by ODA and SLA thorough SLA in spreadsheets with data from individual archives. Double entries are deleted and missing or obviously false values are imputed from previous reports.
Source data
Data is collected from the National Archives and ODA/SLA as a joint data report collected by the National Archives and SLA.
Frequency of data collection
Annual.
Data collection
Data is collected from a spreadsheet with data on individual archives sent from the National Archives and ODA/SLA.
Data validation
Data validation is performed by comparing values with previous years' data collection for individual archives as well as on an aggregated level. In some cases, archives are contacted for verification / correction.
Data compilation
Doublets in the validated data are deleted and missing or obviously false values are imputed from previous reports.
For 2015, 13 per cent of the ODA/SLA archives’ values have been imputed. Validated data are aggregated to provincial and national levels.
To ensure that the 30 largest archives are included in the statistics each year, their presence is checked annually in the report. If some of these do not appear - their values are imputed for the most recently reported year. This is because the SLA and OLA member lists regularly change as new ones arrive and others drops out.
For the smaller archives, these are imputed retroactively for two years. If an archive a given year is not reported, then it will continue to be included in the statistics for the next 2 years, even if they are not reported.
Finally, data tables are produced for publication in Statbank Denmark. There can occur marginally changes in the sums of the variables due to rounding.
Adjustment
No corrections are made beyond what has already been described in the sections on data validation and compilation.